Literature DB >> 7768453

Epistasis and its contribution to genetic variance components.

J M Cheverud1, E J Routman.   

Abstract

We present a new parameterization of physiological epistasis that allows the measurement of epistasis separate from its effects on the interaction (epistatic) genetic variance component. Epistasis is the deviation of two-locus genotypic values from the sum of the contributing single-locus genotypic values. This parameterization leads to statistical tests for epistasis given estimates of two-locus genotypic values such as can be obtained from quantitative trait locus studies. The contributions of epistasis to the additive, dominance and interaction genetic variances are specified. Epistasis can make substantial contributions to each of these variance components. This parameterization of epistasis allows general consideration of the role of epistasis in evolution by defining its contribution to the additive genetic variance.

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Year:  1995        PMID: 7768453      PMCID: PMC1206471     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  14 in total

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Review 2.  Mutations affecting fitness in Drosophila populations.

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3.  Linkage and selection: two locus symmetric viability model.

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Review 5.  Population genetics history: a personal view.

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6.  The Unit of Selection in DROSOPHILA MERCATORUM. II. Genetic Revolution and the Origin of Coadapted Genomes in Parthenogenetic Strains.

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  147 in total

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8.  Bayesian model choice and search strategies for mapping interacting quantitative trait Loci.

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10.  The selective values of alleles in a molecular network model are context dependent.

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